Generalized Linear Models
Linear Models Limitations
The ANOVA : a quick overview
This article explores the principles underlying the Analysis of Variance (ANOVA) as well as the workflow to implement it.
Linear Models’ Assumptions
The aim of this article is to present regression assumptions as well as how to visually check if a data set validate those assumptions (both visually and usi...
Principal Component Analysis in R
This article describes a practical application of one of the most used factor analysis techniques - the Principal Component Analysis (PCA) – and provides a ...